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Middle Data Engineer  

For Cloud-oriented managed service provider working with clients worldwide, a Gold Microsoft CSP Partner, Azure Expert MSP.


About Project:
Cloud-oriented managed service provider working with clients worldwide, a Gold Microsoft CSP Partner, Azure Expert MSP.

The service portfolio includes all cloud adoption framework stages, migrations, data and apps modernization projects and services.

Partner has four Microsoft Advanced Specialisations:
o Analytics on Azure
o Windows and SQL Server Migration
o Modernization of Web Applications
o Windows Virtual Desktop
Necessary skills
●    You possess a degree in Computer Science, Applied Mathematics, Engineering or a related field.
●    You have at least 2 years of experience, ideally within a Data Engineer role.
●    Strong understanding of data modeling, data warehousing concepts, and ETL processes.
●    Strong Experience with Cloud technologies ( Azure)
●    Proficient experience in distributed computing principles and familiar with key architectures, and has abroad experience across a set of data stores (Azure Data Lake Store, Azure Synapse Analytics, Apache Spark, Azure Data Factory)
●    Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)
●    Strong SQL-skills
●    Technical recommendations, problem-solving, risk management
●    Proof of concept design, technical demonstration
●    Strong communication and interpersonal skills, with the ability to effectively collaborate with clients and team members at all levels.
●    English —at least upper intermediate level is a must (including presentation skills)
●    Experience working in Agile development environment with tools such as Jira 


Nice to have:
• Experience in SQL migration on-premises to cloud, data modernization and migration, advanced analytics projects
• Relevant Data engineering certification


●    The Data Engineer is responsible for helping to select, deploy and manage the systems and infrastructure required of a data processing pipeline in support of the customer requirements. 
●    Primary responsibilities revolve around DevOps and include implementing ETL pipelines, monitoring/maintaining data pipeline performance, model optimization.
●    You will work on cutting-edge cloud technologies including Azure Synapse Analytics, Apache Spark, Data Lake, Data Bricks, Data Factory, Cosmos DB, HD Insights, Stream Analytics, Event Grid etc., in the implementation projects for corporate clients all over Europe, CIS, UK, Middle East.


We offer:

●    Opportunities for professional growth and international certification
●    Free of charge technical and business trainings and the best bootcamps (worldwide, including HQ Microsoft- Redmond courses)
●    Innovative data and analytics projects and practical experience with cutting-edge Microsoft technologies
●    Great compensation and individual bonus remuneration
●    Long-term employment ( not a temporary project)
●    Individual development plan
●    English speaking club — to develop your language level

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